Cash Recognition for Visually Impaired (CRVI) is a mobile app, currently in development, using deep learning technology to make daily monetary transactions easier for visually impaired individuals in Nepal. The challenge:...

In the previous article, we discussed the performance and accuracy of Binarized Neural Networks (BNN). We also introduced a BNN coded from scratch in the Wolfram Language. The key component of this neural network is Matrix Multiplication.

The problem that we are facing right now is that we have built sophisticated models that can perform complex tasks, but the question is, how do we deploy such bulky models on our mobile devices for instant usage...

Binary neural networks are networks with binary weights and activations at run time. At training time these weights and activations are used for computing gradients; however, the gradients and true weights are stored in...

The aim of this project is to apply deep learning models for recognition of Bengali characters and numerals. For training we used publicly available datasets. We also explore how to develop a complete Bengali character recognizer

Automatic question generation is part of Natural Language Processing (NLP). It is an area of research where many researchers have presented their work and is still an area under research to achieve higher accuracy. Many researchers...

This paper compares different ideas and methods that are used heavily in Machine Learning to determine what works best. These methods are prevalent in various domains of Machine Learning, such as Computer Vision and Natural Language Processing (NLP).

Intel Artificial Intelligence Developer Conference (AIDC) was a two-day conference that took place at the San Francisco Palace of Fine Arts on May 23-24, 2018. Unlike most conferences held by tech companies, this conference was highly technical...